Convolutional Neural Networks for Denoising Gyroscopes of Low-Cost IMUs
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Updated
Sep 16, 2020 - Python
Convolutional Neural Networks for Denoising Gyroscopes of Low-Cost IMUs
Benchmark on Attitude Estimation with Smartphones (datasets & scripts)
Quaternion-based Kalman filter for attitude estimation from IMU data
Study and implementations of different attitude estimation algorithms for spacecrafts.
A general ROS package for C++ or Python that fuses the accelerometer and gyroscope of an IMU in an EKF to estimate orientation.
Book Website: Dynamic System Modelling & Analysis with MATLAB & Pythobn
Navigation filters, transforms, and utilities
Use accelerometer, magnetometer, gyroscope data, use ESKF to estimate attitude.
Time-Varying Kalman Attitude Estimator. An algorithm for attitude estimation from magnetic, angular rate, and gravity sensors data.
An IMU-based Attitude Estimator, implementing the Madgwick filter
This is the main repository for the codes for Spacecraft Attitude Control course Final Project - Politecnico di Milano
This repository contains different algorithms for attitude estimation (roll, pitch and yaw angles) from IMU sensors data: accelerometer, magnetometer and gyrometer measurements
High-precision Attitude Estimation for a Satellite
very simple matrix library, int addition to a recreation of DCM attitude estimation in the form of matrix of C.
Attitude estimation for iNEMO-M1
C++ implementation of the Quaternion Multiplicative Extended Kalman Filter (Q-MEKF).
Fast unit quaternion code for Python written in C
Python implementation of the Madgwick filter using Cython
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